Sample Size
Calculation

Determining optimal sample size to ensure statistical representativeness and validity in research findings.

Key Service Features

Comprehensive Sample Size Calculation Support

Objective-Based Design

Custom calculation strictly aligned with your study’s architecture (cross-sectional, cohort, or clinical trials).

Parameter Determination

Precise definition of critical values: significance level (α), power (1-β), and expected effect size.

Risk Factor Adjustment

Incorporation of safety margins to account for attrition, non-response, and eligibility criteria.

Writing Template (Materials and Methods)

Text ready for immediate insertion into the “Methodology” section of your manuscript or protocol.

Procedure Log

Detailed report including the formula, software used, and bibliographic references supporting the calculation.

Expert Email Support

Personalized email support to resolve specific methodological questions.

Take your research to the next level with expert statistical support!

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Sample size calculation is the pillar of any solid methodological design. A correctly dimensioned sample ensures that your study has the necessary statistical power to detect real effects, optimizing resources and complying with international ethical and scientific requirements.

By hiring this service, you will obtain a custom sampling design, precisely adapted to the specific architecture of your study (cross-sectional, cohort, clinical trials, or repeated measures). We handle the technical determination of critical parameters, such as the significance level (α), study power (1-β), and the expected effect size.

Additionally, your calculation will include an adjustment for feasibility factors, accounting for attrition rates, non-response, and eligibility criteria to ensure the sample is realistic. Finally, you will receive a rigorous methodological justification, written in the technical language required to defend your research’s validity before any evaluator or ethics committee.

Upon completion, you will receive a digital package containing:

Technical Report (PDF): A final document describing the formula, software used, and bibliographic references supporting the calculation.
Parameter Report: A data sheet detailing every input value (confidence level, power, and effect size), ensuring total transparency.
Sensitivity Analysis: Upon request, we include a table of alternative scenarios to visualize how the sample size varies according to different power levels ($1-\beta$) or margins of error.
Writing Template (Materials and Methods): Rigorous technical writing detailing the tests and software applied, ready to be integrated into research protocols, ethics committees, or grant applications.

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Testimonials

What Our Customers Say

Hear from our satisfied customers who have experienced the quality and value of our products and services.

★★★★★

Exceptional data visualization. They transformed complex results into clear, professional charts.

María Constanza Pautasso

Investigadora CONICET

★★★★★

Professional and rigorous scientific consulting. Highly recommended for high-impact publications.

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Lic. en Higiene y Seguridad

★★★★★

Their support was vital for my thesis. Precise, professional, and highly academic results.

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Becaria UBA

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FAQs

Why is sample size calculation important?

It guarantees that the study is capable of detecting real effects if they exist. An insufficient sample can lead to non-significant results (false negatives), while an excessive one wastes resources and poses ethical dilemmas.

When should the sample size be calculated?

Ideally, it should be done during the planning or protocol design phase, before data collection begins, to ensure project viability.

What information is required to calculate the sample size?

You need to define the primary objective and study design, and estimate parameters such as expected variability (standard deviation) and the effect size you wish to detect, based on previous literature or pilot studies.

What is statistical power?

It is the probability of detecting an effect or difference when it actually exists (avoiding Type II error). It is generally set at 80% or 90%.

What significance level (alpha) is usually used?

The standard in biomedical research is 0.05 (5%), indicating a 5% probability of rejecting the null hypothesis when it is actually true.

Can you calculate sample sizes for different study designs?

Yes, we adapt the calculation to various architectures such as cross-sectional, cohort, case-control, clinical trials, or repeated measures.

Is this calculation mandatory for ethical approval?

Yes, most Ethics and Research Committees require it to ensure the study is scientifically sound and that the number of participants is the minimum necessary to answer the research question.

What software or methods are used?

We use specialized and validated software, which is rigorously detailed in the final technical report along with bibliographic references for the formulas applied.

Is my data kept confidential?

Absolutely. All information exchange is protected under strict professional secrecy and confidentiality criteria.

Comprehensive Sample Size Calculation Support

Objective-Based Design

Parameter Determination

Risk Factor Adjustment

Writing Template (Materials and Methods)

Procedure Log

Expert Email Support

Take your research to the next level with expert statistical support!

Service Overview

Sigma Notation

Factorial Notation

Combinatorics

Permutations

What Our Customers Say

Become a Scientific Partner

FAQs